i'm trying to understand more about training models and unsure how to approach this problem.

I have a bunch of historical financial data that I would like open ai to use as additional context when responding with analysis of new financial reports.

It looks like training is done with examples of correct responses given a piece of data - which makes sense, but can historical data without examples of correct responses be used as additional context?

How is this traditionally done? Any thoughts are greatly appreciated!



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